Run
9864498

Run 9864498

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 23-11-2018 by Lukas Brinkmeyer
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Flow

sklearn.tree.tree.ExtraTreeClassifier(18)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(18)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(18)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(18)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(18)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(18)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(18)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(18)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(18)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(18)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(18)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(18)_random_state4367
sklearn.tree.tree.ExtraTreeClassifier(18)_splitter"random"

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.7973 ± 0.0164
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7992 ± 0.0156
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5943 ± 0.0319
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8869.9319 ± 47.0117
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2009 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7993 ± 0.0157
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7991 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7991 ± 0.0155
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.406 ± 0.0312
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4482 ± 0.0172
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9011 ± 0.0345
Cross-validation details (10-fold Crossvalidation)